Literature DB >> 17947995

Frontal affinity chromatography: sugar-protein interactions.

Hiroaki Tateno1, Sachiko Nakamura-Tsuruta, Jun Hirabayashi.   

Abstract

Frontal affinity chromatography using fluorescence detection (FAC-FD) is a versatile technique for the precise determination of dissociation constants (Kd) between glycan-binding proteins (lectins) and fluorescent-labeled glycans. A series of glycan-containing solutions is applied to a lectin-immobilized column, and the elution profile of each glycan (termed the 'elution front', V) is compared with that (V0) for an appropriate control. Here we describe our standard protocol using an automated FAC system (FAC-1), consisting of two isocratic pumps, an autosampler, a column oven and two miniature columns connected to a fluorescence detector. Analysis time for 100 sugar-protein interactions is approximately 10 h, using as little as 2.5 pmol of pyridylaminated (PA) oligosaccharide per analysis. Using FAC-FD, we have so far obtained quantitative interaction data of >100 lectins for >100 PA oligosaccharides.

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Year:  2007        PMID: 17947995     DOI: 10.1038/nprot.2007.357

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  33 in total

Review 1.  Lectin engineering: the possible and the actual.

Authors:  Jun Hirabayashi; Ryoichi Arai
Journal:  Interface Focus       Date:  2019-02-15       Impact factor: 3.906

Review 2.  Using databases and web resources for glycomics research.

Authors:  Kiyoko F Aoki-Kinoshita
Journal:  Mol Cell Proteomics       Date:  2013-01-16       Impact factor: 5.911

Review 3.  High-sensitivity analytical approaches for the structural characterization of glycoproteins.

Authors:  William R Alley; Benjamin F Mann; Milos V Novotny
Journal:  Chem Rev       Date:  2013-03-27       Impact factor: 60.622

4.  Development of a microcolumn one-site immunometric assay for a protein biomarker: Analysis of alpha1-acid glycoprotein.

Authors:  Chenhua Zhang; Shae Lott; William Clarke; David S Hage
Journal:  J Chromatogr A       Date:  2019-09-20       Impact factor: 4.759

5.  Dual specificity of Langerin to sulfated and mannosylated glycans via a single C-type carbohydrate recognition domain.

Authors:  Hiroaki Tateno; Koji Ohnishi; Rikio Yabe; Norihito Hayatsu; Takashi Sato; Motohiro Takeya; Hisashi Narimatsu; Jun Hirabayashi
Journal:  J Biol Chem       Date:  2009-12-21       Impact factor: 5.157

6.  A novel core fucose-specific lectin from the mushroom Pholiota squarrosa.

Authors:  Yuka Kobayashi; Hiroaki Tateno; Hideo Dohra; Kenta Moriwaki; Eiji Miyoshi; Jun Hirabayashi; Hirokazu Kawagishi
Journal:  J Biol Chem       Date:  2012-08-07       Impact factor: 5.157

7.  Podocalyxin is a glycoprotein ligand of the human pluripotent stem cell-specific probe rBC2LCN.

Authors:  Hiroaki Tateno; Asako Matsushima; Keiko Hiemori; Yasuko Onuma; Yuzuru Ito; Kayo Hasehira; Ken Nishimura; Manami Ohtaka; Satoko Takayasu; Mahito Nakanishi; Yuzuru Ikehara; Mio Nakanishi; Kiyoshi Ohnuma; Techuan Chan; Masashi Toyoda; Hidenori Akutsu; Akihiro Umezawa; Makoto Asashima; Jun Hirabayashi
Journal:  Stem Cells Transl Med       Date:  2013-03-22       Impact factor: 6.940

Review 8.  Bioinformatics and molecular modeling in glycobiology.

Authors:  Martin Frank; Siegfried Schloissnig
Journal:  Cell Mol Life Sci       Date:  2010-04-04       Impact factor: 9.261

9.  A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins.

Authors:  Andrew Porter; Tingting Yue; Lee Heeringa; Steven Day; Edward Suh; Brian B Haab
Journal:  Glycobiology       Date:  2009-11-29       Impact factor: 4.313

10.  Carbohydrate-binding domain of the POMGnT1 stem region modulates O-mannosylation sites of α-dystroglycan.

Authors:  Naoyuki Kuwabara; Hiroshi Manya; Takeyuki Yamada; Hiroaki Tateno; Motoi Kanagawa; Kazuhiro Kobayashi; Keiko Akasaka-Manya; Yuriko Hirose; Mamoru Mizuno; Mitsunori Ikeguchi; Tatsushi Toda; Jun Hirabayashi; Toshiya Senda; Tamao Endo; Ryuichi Kato
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-04       Impact factor: 11.205

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